Augenstein D, Morschheuser B (2022)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2022
Series: 37
Pages Range: 1-8
Conference Proceedings Title: ECIS 2022 Research-in-Progress Papers
URI: https://aisel.aisnet.org/ecis2022_rip/37
Research often draws on established research methods such as lab or field experiments to investigate urgent questions about human factors in future autonomous mobility. However, conducting experiments in such a context is either expensive and complex to implement and operate, when the researchers aim for realism, or otherwise entails limitations with regard to the external validity of the experiments. In this work, we propose the use of immersive virtual experiments in emerging game-based ‘metaverse’ platforms as a cost-efficient approach with the potential for high realism. Next to a prototype, we present the setup of an experiment for investigating user behavior in an autonomous driving scenario we want to realize. Finally, we provide an outlook on how we plan to gain novel insights for designing realistic experiments in the metaverse.
APA:
Augenstein, D., & Morschheuser, B. (2022). Understanding human factors in the metaverse - an autonomous driving experiment. In ECIS 2022 Research-in-Progress Papers (pp. 1-8). Timișoara, RO.
MLA:
Augenstein, Dominik, and Benedikt Morschheuser. "Understanding human factors in the metaverse - an autonomous driving experiment." Proceedings of the European Conference on Information Systems (ECIS), Timișoara 2022. 1-8.
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